Active Control Research of SαS Impulse Noise Based on the Nonlinear Transformation

2014 ◽  
Vol 577 ◽  
pp. 816-819
Author(s):  
Pei Li ◽  
Jun Zheng ◽  
Xue Feng Bai ◽  
Xiao Na Song
Keyword(s):  
Nervous System ◽  
Digestive System ◽  
Impulse Noise ◽  
Impulsive Noise ◽  
Active Noise Control ◽  
Nonlinear Transformation ◽  
Active Noise ◽  
Control Research ◽  
Previous Algorithm ◽  
Digestive System Diseases

Noise affect people’s all kinds of activities widely, such as sleep and rest, damage to the hearing, and even cause the nervous system, cardiovascular system, digestive system diseases. In practice, we often encounter pulse signals that are extremely harmful to human body health. In this paper, active noise control of symmetric α stable (SαS) distribution impulsive noise is studied. The algorithm based on the nonlinear transformation is proposed. Compared to the previous algorithm, it does not need the parameter selection and thresholds estimation. Results prove the effectiveness of the algorithm.

Less complex solutions for active noise control of impulsive noise

2019 ◽  
Vol 102 (3) ◽  
pp. 507-521
Author(s):  
Alina Mirza ◽  
Ayesha Zeb ◽  
Mir Yasir Umair ◽  
Danish Ilyas ◽  
Shahzad Amin Sheikh
Keyword(s):  
Noise Control ◽  
Impulsive Noise ◽  
Active Noise Control ◽  
Active Noise ◽  
Complex Solutions

Improving performance of FxRLS algorithm for active noise control of impulsive noise

2017 ◽  
Vol 116 ◽  
pp. 364-374 ◽  
Author(s):  
Ayesha Zeb ◽  
Alina Mirza ◽  
Qasim Umar Khan ◽  
Shahzad A. Sheikh
Keyword(s):  
Noise Control ◽  
Impulsive Noise ◽  
Active Noise Control ◽  
Active Noise

Comparison Study of Active Noise Cancelation Algorithms for Impulsive Noise

2011 ◽  
Author(s):  
Peng Li ◽  
Xun Yu
Keyword(s):  
Impulsive Noise ◽  
Active Noise Control ◽  
Practical Implementation ◽  
Least Mean Square ◽  
Advantages And Disadvantages ◽  
Residual Noise ◽  
Active Noise ◽  
Fxlms Algorithm ◽  
Important Challenge ◽  
M Estimate

Control of impulsive noise is one important challenge for the practical implementation of active noise control (ANC) systems. The advantages and disadvantages of popular filtered-X least mean square (FXLMS) ANC algorithm and nonlinear filtered-X least mean M-estimate (FXLMM) algorithm are discussed in this paper. A new modified FXLMM algorithm is also proposed to achieve better performance in controlling impulsive noise. Computer simulations are carried out for all the three algorithms and the results are presented and analyzed. The results show that the FXLMM and modified FXLMM algorithms are more robust in suppressing the adverse effect of sudden large amplitude impulses than FXLMS algorithm. In particular, the proposed modified FXLMM algorithm can achieve better stability without sacrificing the performance of residual noise when encountering impulses.

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